The changes in the relative biomass growth rate of plants reveal the different interaction modes under high-stress

IF 3.5 3区 环境科学与生态学 Q2 ECOLOGY
Ecological Modelling Pub Date : 2026-04-01 Epub Date: 2026-01-21 DOI:10.1016/j.ecolmodel.2026.111502
Kangkang Mi , Wenping Cui , Ying Zhao , Tingting Ji , Yuyang Song
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引用次数: 0

Abstract

The growth of plants is influenced by competition and facilitation with neighboring plants. Most studies have focused on the impact of competition on the growth rate of key plants. It is worth noting that under high-stress conditions, the combined impact of facilitation and competition interactions on the growth rate of plant biomass has not been fully explored. In this study, we utilized the zone-of-influence Model (ZOI) to simulate the growth of saplings and adult trees under different interaction modes. Our research results indicate that the interaction can alleviate or even reverse the decline in the relative biomass growth rate of plants. This depends on the competitive and facilitation modes that the plant has gone through. By adjusting parameters such as population structure, interaction modes, and individual size in ZOI, the actual growth conditions of field plants can be simulated. We found that the actual relative biomass growth rate of Haloxylon ammodendron (C.A. Mey.) changes over time, reflecting the competitive and facilitation modes at different developmental stages, and emphasizing the dynamic nature of interactions during plant growth.
植物相对生物量生长率的变化揭示了高胁迫下不同的相互作用模式
植物的生长受到与邻近植物的竞争和促进的影响。大多数研究都集中在竞争对关键植物生长速度的影响上。值得注意的是,在高胁迫条件下,促进和竞争相互作用对植物生物量生长速率的综合影响尚未得到充分探讨。本研究利用影响区模型(zone-of-influence Model, ZOI)模拟了不同交互模式下幼树和成树的生长情况。我们的研究结果表明,这种相互作用可以缓解甚至逆转植物相对生物量增长率的下降。这取决于工厂所经历的竞争和促进模式。通过调整ZOI中的种群结构、相互作用模式和个体大小等参数,可以模拟田间植物的实际生长状况。研究发现梭梭(Haloxylon ammodendron)的实际相对生物量增长率随时间变化,反映了不同发育阶段的竞争和促进模式,强调了植物生长过程中相互作用的动态性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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